Characterizing the Evolution of Communities on Reddit

One of the most important structures in social networks is communities. Communities in social networks evolve over time. Understanding the evolution of communities is useful in many applications, such as building successful communities, maintaining the success of communities, etc. There have been some works on studying online communities such as understanding the life cycle of users and understanding the loyalty of members in a community. An aspect of online community studies that has not been sufficiently studied is the evolution of communities over time. In this work, we investigate factors that significantly differentiate the different parts of the evolution of communities. Firstly, we identify the different patterns that can exist in the evolution of communities. Next, we examine how different features differentiate parts of the patterns identified. Experimental results showed that the linguistic style of users who make posts and the interaction dynamics of members in a community are related to different parts of communities’ evolution with respect to the number of active users.

[1]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[2]  Bernardo A. Huberman,et al.  E-Mail as Spectroscopy: Automated Discovery of Community Structure within Organizations , 2005, Inf. Soc..

[3]  Guisheng Yin,et al.  Differentially Private Recommendation System Based on Community Detection in Social Network Applications , 2018, Secur. Commun. Networks.

[4]  Jure Leskovec,et al.  No country for old members: user lifecycle and linguistic change in online communities , 2013, WWW.

[5]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[6]  Lu Xiao,et al.  Characterizing Susceptible Users on Reddit's ChangeMyView , 2019, Proceedings of the 10th International Conference on Social Media and Society.

[7]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[8]  Debanjan Ghosh,et al.  ChangeMyView Through Concessions: Do Concessions Increase Persuasion? , 2018, Dialogue & Discourse.

[9]  Yoshi Fujiwara,et al.  Hierarchical communities in the walnut structure of the Japanese production network , 2018, PloS one.

[10]  P. Resnick,et al.  Building Successful Online Communities: Evidence-Based Social Design , 2012 .

[11]  Mason A. Porter,et al.  Community Structure in the United States House of Representatives , 2007, ArXiv.

[12]  James W. Pennebaker,et al.  Linguistic Inquiry and Word Count (LIWC2007) , 2007 .

[13]  Sucheta Soundarajan,et al.  Sampling Community Structure in Dynamic Social Networks , 2018, IEA/AIE.

[14]  Chenhao Tan,et al.  Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities , 2019, WWW.

[15]  Jure Leskovec,et al.  Loyalty in Online Communities , 2017, ICWSM.

[16]  Jon M. Kleinberg,et al.  Characterizing and curating conversation threads: expansion, focus, volume, re-entry , 2013, WSDM.

[17]  Kan Li,et al.  Detecting hierarchical structure of community members in social networks , 2015, Knowl. Based Syst..

[18]  Franco Bagnoli,et al.  Hierarchical community structure in complex (social) networks , 2014, ArXiv.

[19]  Jure Leskovec,et al.  The life and death of online groups: predicting group growth and longevity , 2012, WSDM '12.

[20]  Bhaskar Biswas,et al.  Community-based link prediction , 2017, Multimedia Tools and Applications.

[21]  S. Chiba,et al.  Dynamic programming algorithm optimization for spoken word recognition , 1978 .

[22]  Chenhao Tan,et al.  Tracing Community Genealogy: How New Communities Emerge from the Old , 2018, ICWSM.